{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TJVHGXVMAVEATNPY76MZGEHEUR","short_pith_number":"pith:TJVHGXVM","canonical_record":{"source":{"id":"2409.14454","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-09-22T14:07:10Z","cross_cats_sorted":["cs.LG","cs.SY"],"title_canon_sha256":"c911313831e66aa6df8e3e1d712506f6c92596026ce8fd00da2af25a6a0131c6","abstract_canon_sha256":"9b6fe94af82f05023c4bb55324e666633cd0a5347900e269117d26cf48be350b"},"schema_version":"1.0"},"canonical_sha256":"9a6a735eac054809b5f8ff999310e4a4497fdbac97cc283d0c67211c0597d63d","source":{"kind":"arxiv","id":"2409.14454","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14454","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14454v1","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14454","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"pith_short_12","alias_value":"TJVHGXVMAVEA","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"pith_short_16","alias_value":"TJVHGXVMAVEATNPY","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"pith_short_8","alias_value":"TJVHGXVM","created_at":"2026-07-05T09:10:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TJVHGXVMAVEATNPY76MZGEHEUR","target":"record","payload":{"canonical_record":{"source":{"id":"2409.14454","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-09-22T14:07:10Z","cross_cats_sorted":["cs.LG","cs.SY"],"title_canon_sha256":"c911313831e66aa6df8e3e1d712506f6c92596026ce8fd00da2af25a6a0131c6","abstract_canon_sha256":"9b6fe94af82f05023c4bb55324e666633cd0a5347900e269117d26cf48be350b"},"schema_version":"1.0"},"canonical_sha256":"9a6a735eac054809b5f8ff999310e4a4497fdbac97cc283d0c67211c0597d63d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:17.136797Z","signature_b64":"UsWt9xAreJIDbrHL//FUwiP+THdZNSIjBJVqlFjhGzFp/29Tg4F3HUxDcbmgz17LK/HdsxTZYlyxwuSqWR/ABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a6a735eac054809b5f8ff999310e4a4497fdbac97cc283d0c67211c0597d63d","last_reissued_at":"2026-07-05T09:10:17.136342Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:17.136342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.14454","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:10:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q0CaeHvEexR4qE6QGZ7tMqzjlPDfkhELOmXIAFzt85I3nOztDmnSb/iVCqx+yYVqQB3l50M/JknaJuo1vMTvBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:09:37.427951Z"},"content_sha256":"999e3472176c6f78db9835d0cfddef2d23c53b346dcdbb0b24be6643bd94920c","schema_version":"1.0","event_id":"sha256:999e3472176c6f78db9835d0cfddef2d23c53b346dcdbb0b24be6643bd94920c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TJVHGXVMAVEATNPY76MZGEHEUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Brian Johnson, Hao Zhu, Shaohui Liu, Weiqian Cai","submitted_at":"2024-09-22T14:07:10Z","abstract_excerpt":"The growing prevalence of inverter-based resources (IBRs) for renewable energy integration and electrification greatly challenges power system dynamic analysis. To account for both synchronous generators (SGs) and IBRs, this work presents an approach for learning the model of an individual dynamic component. The recurrent neural network (RNN) model is used to match the recursive structure in predicting the key dynamical states of a component from its terminal bus voltage and set-point input. To deal with the fast transients especially due to IBRs, we develop a Stable Integral (SI-)RNN to mimic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14454","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.14454/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:10:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8CPstPZKNT5BO9EJ6GNUgTZ6hKVzfcaM7pfCalIhdn3M8Z+fMz1B4MKfs6rBGLyyUzUNJVlVwC99+iXrb6hoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:09:37.428473Z"},"content_sha256":"5e278615076cb8218c4cf2290a59d8bfe1d3e72051e2b043fe3cbb829eec11a4","schema_version":"1.0","event_id":"sha256:5e278615076cb8218c4cf2290a59d8bfe1d3e72051e2b043fe3cbb829eec11a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJVHGXVMAVEATNPY76MZGEHEUR/bundle.json","state_url":"https://pith.science/pith/TJVHGXVMAVEATNPY76MZGEHEUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJVHGXVMAVEATNPY76MZGEHEUR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-10T03:09:37Z","links":{"resolver":"https://pith.science/pith/TJVHGXVMAVEATNPY76MZGEHEUR","bundle":"https://pith.science/pith/TJVHGXVMAVEATNPY76MZGEHEUR/bundle.json","state":"https://pith.science/pith/TJVHGXVMAVEATNPY76MZGEHEUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJVHGXVMAVEATNPY76MZGEHEUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TJVHGXVMAVEATNPY76MZGEHEUR","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9b6fe94af82f05023c4bb55324e666633cd0a5347900e269117d26cf48be350b","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-09-22T14:07:10Z","title_canon_sha256":"c911313831e66aa6df8e3e1d712506f6c92596026ce8fd00da2af25a6a0131c6"},"schema_version":"1.0","source":{"id":"2409.14454","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.14454","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"arxiv_version","alias_value":"2409.14454v1","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.14454","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"pith_short_12","alias_value":"TJVHGXVMAVEA","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"pith_short_16","alias_value":"TJVHGXVMAVEATNPY","created_at":"2026-07-05T09:10:17Z"},{"alias_kind":"pith_short_8","alias_value":"TJVHGXVM","created_at":"2026-07-05T09:10:17Z"}],"graph_snapshots":[{"event_id":"sha256:5e278615076cb8218c4cf2290a59d8bfe1d3e72051e2b043fe3cbb829eec11a4","target":"graph","created_at":"2026-07-05T09:10:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2409.14454/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing prevalence of inverter-based resources (IBRs) for renewable energy integration and electrification greatly challenges power system dynamic analysis. To account for both synchronous generators (SGs) and IBRs, this work presents an approach for learning the model of an individual dynamic component. The recurrent neural network (RNN) model is used to match the recursive structure in predicting the key dynamical states of a component from its terminal bus voltage and set-point input. To deal with the fast transients especially due to IBRs, we develop a Stable Integral (SI-)RNN to mimic","authors_text":"Brian Johnson, Hao Zhu, Shaohui Liu, Weiqian Cai","cross_cats":["cs.LG","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-09-22T14:07:10Z","title":"A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.14454","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:999e3472176c6f78db9835d0cfddef2d23c53b346dcdbb0b24be6643bd94920c","target":"record","created_at":"2026-07-05T09:10:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9b6fe94af82f05023c4bb55324e666633cd0a5347900e269117d26cf48be350b","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2024-09-22T14:07:10Z","title_canon_sha256":"c911313831e66aa6df8e3e1d712506f6c92596026ce8fd00da2af25a6a0131c6"},"schema_version":"1.0","source":{"id":"2409.14454","kind":"arxiv","version":1}},"canonical_sha256":"9a6a735eac054809b5f8ff999310e4a4497fdbac97cc283d0c67211c0597d63d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a6a735eac054809b5f8ff999310e4a4497fdbac97cc283d0c67211c0597d63d","first_computed_at":"2026-07-05T09:10:17.136342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:17.136342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UsWt9xAreJIDbrHL//FUwiP+THdZNSIjBJVqlFjhGzFp/29Tg4F3HUxDcbmgz17LK/HdsxTZYlyxwuSqWR/ABA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:17.136797Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.14454","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:999e3472176c6f78db9835d0cfddef2d23c53b346dcdbb0b24be6643bd94920c","sha256:5e278615076cb8218c4cf2290a59d8bfe1d3e72051e2b043fe3cbb829eec11a4"],"state_sha256":"ad5fc7626a7e2f1467923e6096e4c2f44295bb7cfb376db115316695140814d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VNSsEQaq9keiEay4I+7gw6YzyQXlcmV3i3i9KgHn+WzPBV5v29qt7ZjMZy2YkoATZqzORHxw8FbFJNmUwN4IAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T03:09:37.432039Z","bundle_sha256":"548f03899cb9a54ace2e2434398cc9d697d901a7ee487730bc9cccd1fc7b95ba"}}